Design a System to Identify Type of Learner Based on Expression of Learner in Collaborative Learning Environment using Ensemble Learning Method of Machine Learning

Abstract

Learning plays an important role in an individual's development. Learning is possible through various ways which improves knowledge of individuals. Collaborative learning environment is one of the effective types of learning which improves the skills of learners. It may be possible that few learners are very active and few learners are slow, for such slow learners motivation is required to improve the learning skills. The objective of this work is to identify the type of learner based on the expression of learner in a collaborative learning environment using ensemble learning method of machine learning, based on the type of learner expert or ecosystem will decide further path for slow learners, average learners as well as for fast learners.